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Systemic regulation of photosynthetic function in maize plants at graining stage under a vertically heterogeneous light environment
期刊论文
JOURNAL OF INTEGRATIVE AGRICULTURE, 2022, 卷号: 21, 期号: 3, 页码: 666-676
作者:
Wu Han-yu
;
Qiao Mei-yu
;
Zhang Wang-feng
;
Wang Ke-ru
;
Li Shao-kun
;
Jiang Chuang-dao
Adobe PDF(987Kb)
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浏览/下载:18/0
  |  
提交时间:2024/03/07
light environment
photosynthesis
gas exchange
chlorophyll a fluorescence transient
reproductive growth
Photosynthetic mechanism of high yield under an improved wide-narrow row planting pattern in maize
期刊论文
PHOTOSYNTHETICA, 2022
作者:
Ge, X. L.
;
Chen, Y. B.
;
Wang, Y.
;
Wang, B. C.
;
Chao, Q.
;
Yu, Y.
;
Gong, X. J.
;
Hao, Y. B.
;
LI, L.
;
Jiang, Y. B.
;
Lv, G. Y.
;
Qian, C. R.
;
Jiang, C. D.
Adobe PDF(2309Kb)
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浏览/下载:28/0
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提交时间:2024/03/07
gas exchange
net photosynthetic rate
photon duration
photosynthetic enzymes
productivity
Vertical distribution of gas exchanges and their integration throughout the entire canopy in a maize field
期刊论文
PHOTOSYNTHESIS RESEARCH, 2021, 卷号: 147, 期号: 3, 页码: 269-281
作者:
Xu, Zhenzhu
;
Zhou, Guangsheng
;
He, Qijin
Adobe PDF(1249Kb)
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浏览/下载:85/0
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提交时间:2023/02/24
Vertical distribution
Carbon exchange
Eddy covariance
Stomatal conductance
Evapotranspiration
Maize canopy
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
作者:
Jin, Shichao
;
Su, Yanjun
;
Gao, Shang
;
Wu, Fangfang
;
Ma, Qin
;
Xu, Kexin
;
Hu, Tianyu
;
Liu, Jin
;
Pang, Shuxin
;
Guan, Hongcan
;
Zhang, Jing
;
Guo, Qinghua
Adobe PDF(14928Kb)
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浏览/下载:144/0
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提交时间:2022/03/01
Classification
deep learning
LiDAR
phenotype
segmentation
structural components
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level
期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:
Jin, Shichao
;
Su, Yanjun
;
Song, Shilin
;
Xu, Kexin
;
Hu, Tianyu
;
Yang, Qiuli
;
Wu, Fangfang
;
Xu, Guangcai
;
Ma, Qin
;
Guan, Hongcan
;
Pang, Shuxin
;
Li, Yumei
;
Guo, Qinghua
Adobe PDF(4774Kb)
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浏览/下载:105/0
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提交时间:2022/03/01
Biomass
Phenotype
Machine learning
Terrestrial lidar
Precision agriculture
Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize
期刊论文
BMC ECOLOGY, 2019, 卷号: 19
作者:
Zhang, F.
;
Zhou, G.
Adobe PDF(2272Kb)
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浏览/下载:87/0
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提交时间:2022/01/06
Canopy water content
Hyperspectral remote sensing
Leaf equivalent water thickness
Live fuel moisture content
Summer maize
Evaluating maize phenotype dynamics under drought stress using terrestrial lidar
期刊论文
PLANT METHODS, 2019, 卷号: 15
作者:
Su, Yanjun
;
Wu, Fangfang
;
Ao, Zurui
;
Jin, Shichao
;
Qin, Feng
;
Liu, Boxin
;
Pang, Shuxin
;
Liu, Lingli
;
Guo, Qinghua
Adobe PDF(2545Kb)
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浏览/下载:104/0
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提交时间:2022/01/06
Maize
Phenotype
Lidar
Drought stress
Vertical distributions of chlorophyll and nitrogen and their associations with photosynthesis under drought and rewatering regimes in a maize field
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2019, 卷号: 272, 页码: 40-54
作者:
Li, Yibo
;
Song, He
;
Zhou, Li
;
Xu, Zhenzhu
;
Zhou, Guangsheng
Adobe PDF(4674Kb)
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浏览/下载:133/0
  |  
提交时间:2022/01/06
Chlorophyll
Drought episode
Nitrogen
Rewatering
Vertical distribution
Zea mays L
The relationship between leaf and ecosystem CO2 exchanges in a maize field
期刊论文
ACTA PHYSIOLOGIAE PLANTARUM, 2018, 卷号: 40, 期号: 8
作者:
Xu, Zhenzhu
;
Zhou, Guangsheng
;
Han, Guangxuan
;
Li, Yijun
Adobe PDF(1336Kb)
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浏览/下载:124/0
  |  
提交时间:2022/02/25
Eddy covariance
Leaf photosynthetic rate
Canopy
Net CO2 ecosystem exchange
Photosynthetic quantum yield
Photosystem II photochemistry
Upscaling
Deriving a light use efficiency estimation algorithm using in situ hyperspectral and eddy covariance measurements for a maize canopy in Northeast China
期刊论文
ECOLOGY AND EVOLUTION, 2017, 卷号: 7, 期号: 13, 页码: 4735-4744
作者:
Zhang, Feng
;
Zhou, Guangsheng
Adobe PDF(1823Kb)
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收藏
  |  
浏览/下载:102/0
  |  
提交时间:2022/03/28
canopy chlorophyll content
eddy covariance
hyperspectral remote sensing
light use efficiency
spectral vegetation indices